Automated Gamete Positioning via Motion Tracking
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Solution Overview
Problem
Conventional methods fail to accurately track and manipulate gametes, particularly in high-density populations, as they struggle to differentiate between motile and immobilized gametes and require manual intervention, leading to inefficiencies and inaccuracies in gamete selection and retrieval.
Innovation Solution
A system and method that utilize imaging and tracking systems to identify and track gametes based on motion and appearance features, reorient them for optimal manipulation, and automate the process of positioning, immobilization, and retrieval, using actuated platforms and manipulation systems to maintain gametes within a target region and orientation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual tracking and manipulation methods are used, then operator control and flexibility are maintained, but tracking accuracy and efficiency deteriorate in high-density gamete populations
Solution Approach 1:
The patent replaces manual mechanical tracking and manipulation with an automated system combining imaging systems, tracking software, and robotic manipulation devices. The tracking system automatically identifies and follows gametes based on motion and appearance features, while robotic arms perform precise manipulation tasks, eliminating manual intervention and significantly improving both tracking accuracy and processing throughput.
Solution Approach 2:
The system enables self-service by allowing the automated tracking and manipulation system to operate independently without continuous manual intervention. The tracking software autonomously identifies gametes, monitors their motion, and guides robotic manipulators to perform selection and retrieval operations, making the system self-sufficient while maintaining high precision and efficiency.
2Adaptability or versatility
If conventional tracking systems are used, then system simplicity is maintained, but the ability to differentiate between motile and immobilized gametes deteriorates
Solution Approach 1:
The imaging system serves multiple functions: it captures images for visual inspection, extracts motion features to distinguish motile from immobilized gametes, and provides appearance features for identification. This multi-functional approach enables the system to differentiate gamete states without adding separate specialized devices, managing complexity while enhancing versatility.
Solution Approach 2:
The system transitions from simple visual observation to multi-dimensional analysis by extracting both motion features (velocity, acceleration, movement patterns) and appearance features (morphology, staining characteristics) from imaging data. This dimensional expansion enables sophisticated gamete differentiation capability while using integrated software processing to manage the increased system complexity.
3Manufacturing precision
If automated positioning systems are implemented, then manipulation precision is improved, but system complexity and initial costs increase
Solution Approach 1:
The patent employs robotic manipulators with precise positioning systems to replace manual manipulation. These robotic systems use feedback control, real-time imaging guidance, and automated control algorithms to achieve high manipulation precision for gamete selection, immobilization, and retrieval, while integrating multiple subsystems to manage overall system complexity.
Data Source
AI summary
The method for automated cell positioning can include: sampling a video of a scene having a gamete, tracking the gamete, and positioning the gamete within a target region. The method can optionally include: determining attribute values for the gamete, selecting the gamete, reorienting the gamete, and/or manipulating the gamete, and/or any suitable steps.